Rebecca Barter

Rebecca Barter is a Research Assistant Professor at the University of Utah. She completed her PhD in Statistics at the University of California, Berkeley, under the supervision of Bin Yu, focusing on Visualization, Prediction, and Causal Inference: Applications in Healthcare. Her work bridges statistical methodology, data visualization, and interdisciplinary applications in healthcare and public health.

Her research interests include data science practices, causal inference, machine learning, and the development of tools like the R package superheat for visualizing complex datasets. She has contributed to significant projects, including curating a COVID-19 data repository and forecasting county-level death counts in the United States. Her efforts in fostering diversity and inclusion in data science are highlighted in reports from the Berkeley Institute for Data Science (BIDS).

Barter is also active in educational outreach, offering data science training and consulting. Her publications span methodological advancements and applied studies, emphasizing responsible data analysis and decision-making frameworks.